Dr. Shweta Sankhwar | Academic & Researcher

About & Research Interests

I am an academician and researcher with a strong background in Computer Science, specializing in Cyber Security and Machine Learning. My Ph.D. research focused on the empirical detection and prevention of E-mail Phishing. Currently, I serve as an Assistant Professor at Maitreyi College, University of Delhi, where I am dedicated to fostering the next generation of tech professionals while actively contributing to the global research community through interdisciplinary studies in IoT security, health informatics, and predictive modeling.

Core Research Areas:

Cyber Security Machine Learning & AI Phishing Detection IoT Security Health Informatics Data Mining

Selected Research Publications

For a complete list of my publications, please visit my Google Scholar or ORCID profile.

A novel model to predict the effects of enhanced students’ computer interaction on their health in covid-19 pandemics.

Agarwal, N., Mohanty, S. N., Sankhwar, S., & Dash, J. K. (2023). New Generation Computing, 1–34.

An enhanced intelligent model: To protect marine IoT sensor environment using ensemble machine learning approach.

Tiwari, D., Bhati, B. S., Nagpal, B., Sankhwar, S., & Al-Turjman, F. (2021). Ocean Engineering, 242, 110180.

Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction.

Sankhwar, S., Gupta, D., Ramya, K., et al. (2020). Soft Computing, 24(1), 101–110.

An anti-phishing enterprise environ model using feed-forward backpropagation and levenberg-marquart method.

Sankhwar, S., Pandey, D., & Khan, R. (2020). Security and Privacy, In Press.

Email phishing: An enhanced classification model to detect malicious URLs.

Sankhwar, S., Pandey, D., & Khan, R. (2019). EAI Endorsed Transactions on Scalable Information Systems, 6(21).

Academic Experience & Education

April 2021 – Present

Assistant Professor

Department of Computer Science, Maitreyi College (University of Delhi), New Delhi

2014 – 2019

Ph.D. in Cyber Security

Babasaheb Bhimrao Ambedkar University (A Central University), Lucknow

Thesis: An Empirical Approach on Detection and Prevention of E-mail Phishing using Machine Learning Techniques.

Aug 2019 – Dec 2019

Resource Person

Department of Information Technology, School of Science and Technology, Babasaheb Bhimrao Ambedkar University, Lucknow

2012 – 2014

M.Sc. Information Technology

Babasaheb Bhimrao Ambedkar University, Lucknow | First Class Honours, Department Gold Medalist

Awards, Honors & Fellowships

Women in Academics Award (2022): Honoured by Nikhil Bharat Shiksha Parishad at Bengal Education Conclave and Shiksha Samman 2022.
UGC-Dr. D.S. Kothari Post Doctoral Fellow (DSKPDF) (2021): Selected for prestigious Postdoctoral Fellowship Award.
Session Chair & Moderator (2022): International Health Informatics Conference (Springer), ICSVCE2022, and EAI ICISML 2022.
Best Paper Presentation Award (2015): For the article "Cyber Crime: Trends and Issues" at LUSCON-2015.
Gold Medals for Outstanding Performance (2015): University honoured for outstanding student performance in M.Sc. IT.

Technical Skills & Tools

Python R MATLAB Machine Learning SQL / MySQL ASP.NET / C# HTML / CSS / JS Apache / Tomcat

Contact Information

Office Address: Department of Computer Science, Maitreyi College, University of Delhi, Chanakyapuri, New Delhi-110021, India.

University Email: ssankhwar@maitreyi.du.ac.in

Personal Email: shweta.sank@gmail.com

Phone: +91-9616566276